Fidel Echevarria Corrales

Research and development in: • Flight control algorithms and logics. Control/stability augmentation systems, classical control theory. • State estimation techniques for aircraft dynamics. Sensor fusion techniques (GNSS, ADS, IMU, MAG). • Sensor calibration techniques. Kalman filtering, batch optimization, SVD. • Aircraft simulation. Dynamics, kinematics, atmospheric perturbances. • Computer vision systems for autonomous aircraft navigation.

Key subjects: • Bio-inspired neural methods • Evolutionary computation • Computer vision • Perceptual and autonomous robotics • Machine learning methods • Research methodology for intelligent systems

Key subjects: • Deep Learning • Computer Vision • Sensor Fusion • Localization • Model Predictive Control • Optimal Path Algorithms • System integration (ROS)

Key subjects: Mechanical Design, Flight Mechanics, Aerodynamics, Fluid Mechanics, Thermodynamics, Aerospace Materials, Structures, Electronics, Project Management, Aerospace Propulsion. Final Thesis: "Design of a Flight Control System Optimization Tool for Aerial Vehicles"